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Self-StarMAS: A Multi-Agent System for the Self-Management of AAL Applications

机译:Self-StarMAS:用于AAL应用程序自我管理的多代理系统

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Internet of Things (IoT) is used when real-world and everyday objects are connected to the internet. In IoT systems, things collaborate to bring valuable services to users, being one of its key applications the Ambient Assisted Living (AAL). The majority of devices used in IoT are handheld or lightweight devices that show symptoms of degradation, such as energy loss or failure of some network nodes. Consequently IoT-based systems demand the reconfiguration of their internal functioning in response to changes in their environment. IoT-based systems, and especially AAL systems, must behave as self-managing systems. We propose to develop AAL systems using agents enhanced with autonomic computing. Agent properties are adequate for developing self-management systems and additionally, naturally address IoT problems, such as heterogeneity and address ability. We present architectures and tasks for different devices that compose the system and validation results of the current implementation of our system.
机译:当将现实世界和日常对象连接到Internet时,将使用物联网(IoT)。在物联网系统中,事物协作以向用户带来有价值的服务,这是环境辅助生活(AAL)的关键应用之一。物联网中使用的大多数设备是手持式或轻型设备,它们会显示出退化的症状,例如能量损失或某些网络节点出现故障。因此,基于物联网的系统要求重新配置其内部功能,以响应其环境的变化。基于物联网的系统,尤其是AAL系统,必须充当自我管理系统。我们建议使用通过自主计算增强的代理来开发AAL系统。代理属性足以满足开发自我管理系统的需求,此外,自然可以解决物联网问题,例如异构性和寻址能力。我们介绍了组成系统的不同设备的体系结构和任务,以及当前系统实现的验证结果。

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